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SIGMOD/PODS '08
SIGMOD/PODS '09
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This DVD contains the proceedings of the
15th ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD 2009),
which was held from June 28-July 1, 2009 in Paris, France.
You may use the "  PDF"
link to retrieve the paper,
and the other links to find more information on the paper.
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David J. Hand
Mismatched models, wrong results, and dreadful decisions: on choosing appropriate data mining tools 1-2
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Ravi Kumar
Mining web logs: applications and challenges 3-4
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Heikki Mannila
Randomization methods in data mining 5-6
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Ashok N. Srivastava
Data mining at NASA: from theory to applications 7-8
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Stanley Wasserman
Network science: an introduction to recent statistical approaches 9-10
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Michael Zeller, Robert Grossman, Christoph Lingenfelder, Michael R. Berthold, Erik Marcade, Rick Pechter, Mike Hoskins, Wayne Thompson, Rich Holada
Open standards and cloud computing: KDD-2009 panel report 11-18
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Deepak Agarwal, Bee-Chung Chen
Regression-based latent factor models 19-28
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Charu C. Aggarwal, Yan Li, Jianyong Wang, Jing Wang
Frequent pattern mining with uncertain data 29-38
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Amr Ahmed, Eric P. Xing, William W. Cohen, Robert F. Murphy
Structured correspondence topic models for mining captioned figures in biological literature 39-48
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Anurag Ambekar, Charles B. Ward, Jahangir Mohammed, Swapna Male, Steven Skiena
Name-ethnicity classification from open sources 49-58
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Shin Ando, Einoshin Suzuki
Detection of unique temporal segments by information theoretic meta-clustering 59-68
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Mafruz Zaman Ashrafi, See-Kiong Ng
Collusion-resistant anonymous data collection method 69-78
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Sitaram Asur, Srinivasan Parthasarathy
A viewpoint-based approach for interaction graph analysis 79-88
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Lars Backstrom, Jon M. Kleinberg, Ravi Kumar
Optimizing web traffic via the media scheduling problem 89-98
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Ron Bekkerman, Martin Scholz, Krishnamurthy Viswanathan
Improving clustering stability with combinatorial MRFs 99-108
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Michele Berlingerio, Fabio Pinelli, Mirco Nanni, Fosca Giannotti
Temporal mining for interactive workflow data analysis 109-118
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Thomas Bernecker, Hans-Peter Kriegel, Matthias Renz, Florian Verhein, Andreas Züfle
Probabilistic frequent itemset mining in uncertain databases 119-128
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Alina Beygelzimer, John Langford
The offset tree for learning with partial labels 129-138
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Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà
New ensemble methods for evolving data streams 139-148
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Christian Böhm, Katrin Haegler, Nikola S. Müller, Claudia Plant
CoCo: coding cost for parameter-free outlier detection 149-158
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Yingyi Bu, Lei Chen 0002, Ada Wai-Chee Fu, Dawei Liu
Efficient anomaly monitoring over moving object trajectory streams 159-168
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Jonathan Chang, Jordan L. Boyd-Graber, David M. Blei
Connections between the lines: augmenting social networks with text 169-178
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Bo Chen, Wai Lam, Ivor W. Tsang, Tak-Lam Wong
Extracting discriminative concepts for domain adaptation in text mining 179-188
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Minmin Chen, Yixin Chen, Michael R. Brent, Aaron E. Tenney
Constrained optimization for validation-guided conditional random field learning 189-198
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Wei Chen, Yajun Wang, Siyu Yang
Efficient influence maximization in social networks 199-208
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Ye Chen, Dmitry Pavlov, John F. Canny
Large-scale behavioral targeting 209-218
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Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Michael Mitzenmacher, Alessandro Panconesi, Prabhakar Raghavan
On compressing social networks 219-228
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Erick Delage
Regret-based online ranking for a growing digital library 229-238
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Hongbo Deng, Michael R. Lyu, Irwin King
A generalized Co-HITS algorithm and its application to bipartite graphs 239-248
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Meghana Deodhar, Joydeep Ghosh
Mining for the most certain predictions from dyadic data 249-258
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Pinar Donmez, Jaime G. Carbonell, Jeff Schneider
Efficiently learning the accuracy of labeling sources for selective sampling 259-268
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Nan Du, Christos Faloutsos, Bai Wang, Leman Akoglu
Large human communication networks: patterns and a utility-driven generator 269-278
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Murat Dundar, E. Daniel Hirleman, Arun K. Bhunia, J. Paul Robinson, Bartek Rajwa
Learning with a non-exhaustive training dataset: a case study: detection of bacteria cultures using optical-scattering technology 279-288
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Khalid El-Arini, Gaurav Veda, Dafna Shahaf, Carlos Guestrin
Turning down the noise in the blogosphere 289-298
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George Forman, Martin Scholz, Shyamsundar Rajaram
Feature shaping for linear SVM classifiers 299-308
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Richard Frank, Martin Ester, Arno J. Knobbe
A multi-relational approach to spatial classification 309-318
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Antonino Freno, Edmondo Trentin, Marco Gori
Scalable pseudo-likelihood estimation in hybrid random fields 319-328
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João Gama, Raquel Sebastião, Pedro Pereira Rodrigues
Issues in evaluation of stream learning algorithms 329-338
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Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han
Heterogeneous source consensus learning via decision propagation and negotiation 339-348
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Yong Ge, Hui Xiong, Wenjun Zhou, Ramendra K. Sahoo, Xiaofeng Gao, Weili Wu
Multi-focal learning and its application to customer service support 349-358
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Quanquan Gu, Jie Zhou
Co-clustering on manifolds 359-368
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Lei Guo, Enhua Tan, Songqing Chen, Xiaodong Zhang, Yihong Eric Zhao
Analyzing patterns of user content generation in online social networks 369-378
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Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila
Tell me something I don't know: randomization strategies for iterative data mining 379-388
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Xiaohua Hu, Xiaodan Zhang, Caimei Lu, E. K. Park, Xiaohua Zhou
Exploiting Wikipedia as external knowledge for document clustering 389-396
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Mohsen Jamali, Martin Ester
TrustWalker: a random walk model for combining trust-based and item-based recommendation 397-406
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Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye
Drosophila gene expression pattern annotation using sparse features and term-term interactions 407-416
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Ruoming Jin, Yang Xiang, Lin Liu
Cartesian contour: a concise representation for a collection of frequent sets 417-426
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Aleksander Kolcz, Gordon V. Cormack
Genre-based decomposition of email class noise 427-436
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Arne Koopman, Arno Siebes
Characteristic relational patterns 437-446
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Yehuda Koren
Collaborative filtering with temporal dynamics 447-456
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Sayali Kulkarni, Amit Singh, Ganesh Ramakrishnan, Soumen Chakrabarti
Collective annotation of Wikipedia entities in web text 457-466
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Theodoros Lappas, Kun Liu, Evimaria Terzi
Finding a team of experts in social networks 467-476
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Theodoros Lappas, Benjamin Arai, Manolis Platakis, Dimitrios Kotsakos, Dimitrios Gunopulos
On burstiness-aware search for document sequences 477-486
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Mark Last
Improving data mining utility with projective sampling 487-496
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Jure Leskovec, Lars Backstrom, Jon M. Kleinberg
Meme-tracking and the dynamics of the news cycle 497-506
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Lei Li, James McCann, Nancy S. Pollard, Christos Faloutsos
DynaMMo: mining and summarization of coevolving sequences with missing values 507-516
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Tiancheng Li, Ninghui Li
On the tradeoff between privacy and utility in data publishing 517-526
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Yu-Ru Lin, Jimeng Sun, Paul Castro, Ravi B. Konuru, Hari Sundaram, Aisling Kelliher
MetaFac: community discovery via relational hypergraph factorization 527-536
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Chao Liu 0001, Fan Guo, Christos Faloutsos
BBM: bayesian browsing model from petabyte-scale data 537-546
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Jun Liu, Jianhui Chen, Jieping Ye
Large-scale sparse logistic regression 547-556
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David Lo, Hong Cheng, Jiawei Han, Siau-Cheng Khoo, Chengnian Sun
Classification of software behaviors for failure detection: a discriminative pattern mining approach 557-566
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Steven Loscalzo, Lei Yu, Chris H. Q. Ding
Consensus group stable feature selection 567-576
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Aurelie C. Lozano, Naoki Abe, Yan Liu 0002, Saharon Rosset
Grouped graphical Granger modeling methods for temporal causal modeling 577-586
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Aurelie C. Lozano, Hongfei Li, Alexandru Niculescu-Mizil, Yan Liu 0002, Claudia Perlich, Jonathan R. M. Hosking, Naoki Abe
Spatial-temporal causal modeling for climate change attribution 587-596
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Sofus A. Macskassy
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data 597-606
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R. Dean Malmgren, Jake M. Hofman, Luis A. Nunes Amaral, Duncan J. Watts
Characterizing individual communication patterns 607-616
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Andreas Maunz, Christoph Helma, Stefan Kramer
Large-scale graph mining using backbone refinement classes 617-626
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Frank McSherry, Ilya Mironov
Differentially Private Recommender Systems: Building Privacy into the Netflix Prize Contenders 627-636
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Anna Monreale, Fabio Pinelli, Roberto Trasarti, Fosca Giannotti
WhereNext: a location predictor on trajectory pattern mining 637-646
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Siegfried Nijssen, Tias Guns, Luc De Raedt
Correlated itemset mining in ROC space: a constraint programming approach 647-656
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Kensuke Onuma, Hanghang Tong, Christos Faloutsos
TANGENT: a novel, 'Surprise me', recommendation algorithm 657-666
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Rong Pan, Martin Scholz
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering 667-676
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Gaurav Pandey, Gowtham Atluri, Michael Steinbach, Chad L. Myers, Vipin Kumar
An association analysis approach to biclustering 677-686
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Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan
CP-summary: a concise representation for browsing frequent itemsets 687-696
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Ardian Kristanto Poernomo, Vivekanand Gopalkrishnan
Towards efficient mining of proportional fault-tolerant frequent itemsets 697-706
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Foster J. Provost, Brian Dalessandro, Rod Hook, Xiaohan Zhang, Alan Murray
Audience selection for on-line brand advertising: privacy-friendly social network targeting 707-716
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Zijie Qi, Ian Davidson
A principled and flexible framework for finding alternative clusterings 717-726
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Steffen Rendle, Leandro Balby Marinho, Alexandros Nanopoulos, Lars Schmidt-Thieme
Learning optimal ranking with tensor factorization for tag recommendation 727-736
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Venu Satuluri, Srinivasan Parthasarathy
Scalable graph clustering using stochastic flows: applications to community discovery 737-746
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Jerry Scripps, Pang-Ning Tan, Abdol-Hossein Esfahanian
Measuring the effects of preprocessing decisions and network forces in dynamic network analysis 747-756
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Bao-Hong Shen, Shuiwang Ji, Jieping Ye
Mining discrete patterns via binary matrix factorization 757-766
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Lei Shi, Vandana Pursnani Janeja
Anomalous window discovery through scan statistics for linear intersecting paths (SSLIP) 767-776
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Xiaolin Shi, Jun Zhu, Rui Cai, Lei Zhang
User grouping behavior in online forums 777-786
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Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
Causality quantification and its applications: structuring and modeling of multivariate time series 787-796
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Yizhou Sun, Yintao Yu, Jiawei Han
Ranking-based clustering of heterogeneous information networks with star network schema 797-806
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Jie Tang, Jimeng Sun, Chi Wang, Zi Yang
Social influence analysis in large-scale networks 807-816
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Lei Tang, Huan Liu
Relational learning via latent social dimensions 817-826
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Chayant Tantipathananandh, Tanya Y. Berger-Wolf
Constant-factor approximation algorithms for identifying dynamic communities 827-836
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Charalampos E. Tsourakakis, U. Kang, Gary L. Miller, Christos Faloutsos
DOULION: counting triangles in massive graphs with a coin 837-846
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Pavan Vatturi, Weng-Keen Wong
Category detection using hierarchical mean shift 847-856
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Ting Wang, Mudhakar Srivatsa, Dakshi Agrawal, Ling Liu
Learning, indexing, and diagnosing network faults 857-866
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Xuanhui Wang, Deepayan Chakrabarti, Kunal Punera
Mining broad latent query aspects from search sessions 867-876
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Junjie Wu, Hui Xiong, Jian Chen
Adapting the right measures for K-means clustering 877-886
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Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums
A LRT framework for fast spatial anomaly detection 887-896
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Jack Chongjie Xue, Gary M. Weiss
Quantification and semi-supervised classification methods for handling changes in class distribution 897-906
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Donghui Yan, Ling Huang, Michael I. Jordan
Fast approximate spectral clustering 907-916
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Bishan Yang, Jian-Tao Sun, Tengjiao Wang, Zheng Chen
Effective multi-label active learning for text classification 917-926
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Tianbao Yang, Rong Jin, Yun Chi, Shenghuo Zhu
Combining link and content for community detection: a discriminative approach 927-936
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Limin Yao, David M. Mimno, Andrew McCallum
Efficient methods for topic model inference on streaming document collections 937-946
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Lexiang Ye, Eamonn J. Keogh
Time series shapelets: a new primitive for data mining 947-956
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Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han
Exploring social tagging graph for web object classification 957-966
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Shinjae Yoo, Yiming Yang, Frank Lin, Il-Chul Moon
Mining social networks for personalized email prioritization 967-976
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Chang Hun You, Lawrence B. Holder, Diane J. Cook
Learning patterns in the dynamics of biological networks 977-986
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Xiangliang Zhang, Cyril Furtlehner, Julien Perez, Cécile Germain-Renaud, Michèle Sebag
Toward autonomic grids: analyzing the job flow with affinity streaming 987-996
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Yuzhou Zhang, Jianyong Wang, Yi Wang, Lizhu Zhou
Parallel community detection on large networks with propinquity dynamics 997-1006
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Elena Zheleva, Hossam Sharara, Lise Getoor
Co-evolution of social and affiliation networks 1007-1016
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Lei Zheng, Shaojun Wang, Yan Liu, Chi-Hoon Lee
Information theoretic regularization for semi-supervised boosting 1017-1026
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ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiangtao Ren, Deepak S. Turaga, Olivier Verscheure
Cross domain distribution adaptation via kernel mapping 1027-1036
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Guangyu Zhu, Gilad Mishne
Mining rich session context to improve web search 1037-1046
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Jun Zhu, Eric P. Xing, Bo Zhang
Primal sparse Max-margin Markov networks 1047-1056
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Qiang Zhu 0002, Xiaoyue Wang, Eamonn J. Keogh, Sang-Hee Lee
Augmenting the generalized hough transform to enable the mining of petroglyphs 1057-1066
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Josh Attenberg, Sandeep Pandey, Torsten Suel
Modeling and predicting user behavior in sponsored search 1067-1076
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Indrajit Bhattacharya, Shantanu Godbole, Ajay Gupta, Ashish Verma, Jeff Achtermann, Kevin English
Enabling analysts in managed services for CRM analytics 1077-1086
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Ludmila Cherkasova, Kave Eshghi, Charles B. Morrey III, Joseph Tucek, Alistair C. Veitch
Applying syntactic similarity algorithms for enterprise information management 1087-1096
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Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module 1097-1104
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Thomas Crook, Brian Frasca, Ron Kohavi, Roger Longbotham
Seven pitfalls to avoid when running controlled experiments on the web 1105-1114
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Srivatsava Daruru, Nena M. Marin, Matt Walker, Joydeep Ghosh
Pervasive parallelism in data mining: dataflow solution to co-clustering large and sparse Netflix data 1115-1124
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Xiaowen Ding, Bing Liu, Lei Zhang
Entity discovery and assignment for opinion mining applications 1125-1134
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Xiaoxi Du, Ruoming Jin, Liang Ding, Victor E. Lee, John H. Thornton Jr.
Migration motif: a spatial - temporal pattern mining approach for financial markets 1135-1144
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Ariel Fuxman, Anitha Kannan, Andrew B. Goldberg, Rakesh Agrawal, Panayiotis Tsaparas, John C. Shafer
Improving classification accuracy using automatically extracted training data 1145-1154
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Honglei Guo, Huijia Zhu, Zhili Guo, Xiaoxun Zhang, Zhong Su
Address standardization with latent semantic association 1155-1164
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Sonal Gupta, Mikhail Bilenko, Matthew Richardson
Catching the drift: learning broad matches from clickthrough data 1165-1174
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Mohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba
COA: finding novel patents through text analysis 1175-1184
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Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki
Network anomaly detection based on Eigen equation compression 1185-1194
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Wei Jin, Hung Hay Ho, Rohini K. Srihari
OpinionMiner: a novel machine learning system for web opinion mining and extraction 1195-1204
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Jongwuk Lee, Seung-won Hwang, Zaiqing Nie, Ji-Rong Wen
Query result clustering for object-level search 1205-1214
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Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-Deredy, Paulo J. G. Lisboa
Grocery shopping recommendations based on basket-sensitive random walk 1215-1224
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Yan Liu 0002, Jayant R. Kalagnanam, Oivind Johnsen
Learning dynamic temporal graphs for oil-production equipment monitoring system 1225-1234
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Ping Luo, Fen Lin, Yuhong Xiong, Yong Zhao, Zhongzhi Shi
Towards combining web classification and web information extraction: a case study 1235-1244
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Justin Ma, Lawrence K. Saul, Stefan Savage, Geoffrey M. Voelker
Beyond blacklists: learning to detect malicious web sites from suspicious URLs 1245-1254
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Adetokunbo Makanju, A. Nur Zincir-Heywood, Evangelos E. Milios
Clustering event logs using iterative partitioning 1255-1264
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Mary McGlohon, Stephen Bay, Markus G. Anderle, David M. Steier, Christos Faloutsos
SNARE: a link analytic system for graph labeling and risk detection 1265-1274
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Prem Melville, Wojciech Gryc, Richard D. Lawrence
Sentiment analysis of blogs by combining lexical knowledge with text classification 1275-1284
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Noman Mohammed, Benjamin C. M. Fung, Patrick C. K. Hung, Cheuk-kwong Lee
Anonymizing healthcare data: a case study on the blood transfusion service 1285-1294
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Kivanc M. Ozonat, Donald Young
Towards a universal marketplace over the web: statistical multi-label classification of service provider forms with simulated annealing 1295-1304
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Debprakash Patnaik, Manish Marwah, Ratnesh K. Sharma, Naren Ramakrishnan
Sustainable operation and management of data center chillers using temporal data mining 1305-1314
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B. Aditya Prakash, Nicholas Valler, David Andersen, Michalis Faloutsos, Christos Faloutsos
BGP-lens: patterns and anomalies in internet routing updates 1315-1324
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D. Sculley, Robert G. Malkin, Sugato Basu, Roberto J. Bayardo
Predicting bounce rates in sponsored search advertisements 1325-1334
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Liang Sun, Rinkal Patel, Jun Liu, Kewei Chen, Teresa Wu, Jing Li, Eric Reiman, Jieping Ye
Mining brain region connectivity for alzheimer's disease study via sparse inverse covariance estimation 1335-1344
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Junfeng Wang, Chun Chen, Can Wang, Jian Pei, Jiajun Bu, Ziyu Guan, Wei Vivian Zhang
Can we learn a template-independent wrapper for news article extraction from a single training site? 1345-1354
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Kuansan Wang, Toby Walker, Zijian Zheng
PSkip: estimating relevance ranking quality from web search clickthrough data 1355-1364
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Gu Xu, Shuang-Hong Yang, Hang Li
Named entity mining from click-through data using weakly supervised latent dirichlet allocation 1365-1374
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Jiang-Ming Yang, Rui Cai, Chunsong Wang, Hua Huang, Lei Zhang, Wei-Ying Ma
Incorporating site-level knowledge for incremental crawling of web forums: a list-wise strategy 1375-1384
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Yanfang Ye, Tao Li, Qingshan Jiang, Zhixue Han, Li Wan
Intelligent file scoring system for malware detection from the gray list 1385-1394
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Bin Zhou 0002, Daxin Jiang, Jian Pei, Hang Li
OLAP on search logs: an infrastructure supporting data-driven applications in search engines 1395-1404
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Copyright ©2010 Association for Computing Machinery
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